Implementing Signature Verification with Advanced CNN Architecture
Developing a robust signature verification system by employing a Convolutional Neural Network (CNN) architecture with soft-attention and cross-attention layers. Additionally, utilizing a Siamese architecture for accurate identity validation. The system is further enhanced by creating a Docker image of the Python code and deploying it on AWS for seamless cloud execution. Continuous monitoring of the model's performance on the cloud ensures optimal results and efficiency.
